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Integrating Boolean and Mathematical Solving: Foundations, Basic Algorithms, and Requirements
[chapter]
2002
Lecture Notes in Computer Science
Solving Immunology?
2017
Trends in immunology
Emergent responses of the immune system result from integration of molecular and cellular networks over time and across multiple organs. ...
However, connecting genetic variation and molecular mechanisms to individual phenotypes and health outcomes has proven elusive. ...
We thank the many attendees and participants in the workshop for their input and Jill Gregory for creating the illustrations. ...
doi:10.1016/j.it.2016.11.006
pmid:27986392
pmcid:PMC5695553
fatcat:frk2t64wsnbilm4ojuuzcmxozi
Solving Very Hard Problems: Cube-and-Conquer, a Hybrid SAT Solving Method
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
We present this and the underlying paradigm Cube-and-Conquer, a powerful general method to solve big SAT problems, based on integrating the "old" and "new" methods of SAT solving. ...
A recent success of SAT solving has been the solution of the boolean Pythagorean Triples problem [Heule et al., 2016], delivering the largest proof yet, of 200 terabytes in size. ...
A very basic backtracking SAT solver is the DLL-solver [Davis et al., 1962] . The DLL-algorithm uses unit-clause propagation (UCP) at each node to find the most basic inferences for SAT solving. ...
doi:10.24963/ijcai.2017/683
dblp:conf/ijcai/HeuleKM17
fatcat:sab7hccyanhcngia42ntarvlh4
The Strategy Challenge in SMT Solving
[chapter]
2013
Lecture Notes in Computer Science
High-performance SMT solvers contain many tightly integrated, hand-crafted heuristic combinations of algorithmic proof methods. ...
Bill McCune, Kindness and Strategy, by Grant Passmore I would like to tell a short story about Bill, of how I met him, and one way his work and kindness impacted my life. ...
Jackson, Joost Joosten and Larry Paulson for helpful comments on a draft of this paper. We thank the referees for their many useful corrections and suggestions. ...
doi:10.1007/978-3-642-36675-8_2
fatcat:op5iarzvnvfkddz5ycsgyzo264
A package for solving parametric polynomial systems
2010
ACM SIGSAM Bulletin
A Gröbner basis in a boolean polynomial ring, called a boolean Gröbner
basis, is first introduced in [3, 4] with its computation algorithm in order to solve certain types of constraints over
sets. ...
Proceedings of the
Seventh Asian Symposium on Computer Mathematics(ASCM2005), pp 145-148.
[8] Sato, Y., Inoue, S., Suzuki, A. and Nabeshima, K. Boolean Gröbner Bases and Sudoku. ...
doi:10.1145/1823931.1823933
fatcat:zulpwzkc6jdgrebkevri3jmqye
Divide and Conquer: Towards Faster Pseudo-Boolean Solving
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
We propose a modified approach to pseudo-Boolean solving based on division instead of the saturation rule used in [Chai and Kuehlmann '05] and other PB solvers. ...
The last 20 years have seen dramatic improvements in the performance of algorithms for Boolean satisfiability---so-called SAT solvers---and today conflict-driven clause learning (CDCL) solvers are routinely ...
Acknowledgements We would like to thank Daniel Le Berre for many pleasant and enlightening discussions about pseudo-Boolean solving, and João Marques-Silva for helping us get an overview of relevant references ...
doi:10.24963/ijcai.2018/180
dblp:conf/ijcai/ElffersN18
fatcat:tw7e5ncfcfhgvipe5hbo2odz3y
A Survey on String Constraint Solving
[article]
2021
arXiv
pre-print
String solving approaches have become popular over the last years given the massive use of strings in different application domains like formal analysis, automated testing, database query processing, and ...
String constraint solving refers to solving combinatorial problems involving constraints over string variables. ...
For this reason, we tend to skim out the technicalities in favor of a more "high-level" vision of string solving, without however ignoring its theoretical foundations. ...
arXiv:2002.02376v8
fatcat:why6oeufmrbozbl22jlf7yivea
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
2016
Communications on Pure and Applied Mathematics
Empirically, we demonstrate that the computational cost of our algorithm is about four times that of solving a least-squares problem of the same size. ...
We demonstrate that it is possible to solve unstructured random quadratic systems in n variables exactly from O(n) equations in linear time, that is, in time proportional to reading the data {a i } and ...
C. is partially supported by NSF under grant CCF-0963835 and by the Math + X Award from the Simons Foundation. Y. C. is supported by the same NSF grant. ...
doi:10.1002/cpa.21638
fatcat:2q4yhghejvcsfljuekgexjescy
Parallel SAT-Solving for Product Configuration
2021
Zenodo
This thesis presents parallel algorithms to solve SAT problems in the domain of product configuration. ...
The necessity of reproducible solutions, despite using parallel algorithms, is considered and concepts to provide deterministic results are presented. ...
Basically, a lookahead uses a variable which is propagated once for each truth value for a given Boolean formula F cnf . ...
doi:10.5281/zenodo.5152113
fatcat:lgpjojuoprc2hpdsqbsugzb7mm
Universal algorithms for solving the matrix Bellman equations over semirings
2013
Soft Computing - A Fusion of Foundations, Methodologies and Applications
This paper is a survey on universal algorithms for solving the matrix Bellman equations over semirings and especially tropical and idempotent semirings. ...
However, original algorithms are also presented. Some applications and software implementations are discussed. ...
=OR and ⊗ =AND: Boolean logic over the two-element set {0, 1}. ...
doi:10.1007/s00500-013-1027-5
fatcat:sdb66mm7pzfkdmeez4r2vix4oq
SAT-solving approaches to context-aware enterprise network security management
2009
IEEE Journal on Selected Areas in Communications
This paper presents an approach based on Boolean Satisfiability Solving (SAT Solving) that can reason about attacks, usability requirements, cost of actions, etc. in a unified, logical framework. ...
within the context of various other requirements such as usability, ease of access, and cost of countermeasures. ...
CONCLUSION We have introduced a methodology where the system security requirements can be converted to a Boolean formula and, using SAT solving techniques, one can quickly correct misconfigurations that ...
doi:10.1109/jsac.2009.090407
fatcat:tcbdthot3jafbbhzhwjg3du5na
Solving Finite Length Beam Equation by the Haar Wavelet Method
2010
International Journal of Computer Applications
An operational matrix of integration based on the Haar wavelet is established and the procedure for applying the matrix to solve the differential equations is formulated. ...
The beam is assumed partitioned into several finite elements and the deflection of the beam is required to be a positive quantity along the whole beam so that the related fundamental fourthorder ordinary ...
The algorithm and procedure have been applied to use Haar wavelet method in solving ODEs. The result is comparable to the exact solution. ...
doi:10.5120/1349-1819
fatcat:pjuc2lvubzhjrjiynxjp3wfak4
Interaction Coverage Meets Path Coverage by SMT Constraint Solving
[chapter]
2009
Lecture Notes in Computer Science
It supports seeding with general predicates, which allows us to combine it with path exploration such that both interaction and path coverage goals can be met. ...
Keith Stobie provided requirements and has been one of the driving forces to make CIT part of Spec Explorer. ...
This work was supported in part by the National Science Foundation through award CCF-0747009. ...
doi:10.1007/978-3-642-05031-2_7
fatcat:r7ilwtf3jza3xb3sfnymh64ede
Four Problems Solved by the Probabilistic Language of Thought
2016
Current Directions in Psychological Science
approaches, (c) explains the origins of novel and complex computational concepts, and (d) provides a framework for abstraction that can link sensation and conception. ...
Work using this framework demonstrates how the pLOT (a) refines the debate between symbols and statistics in cognitive modeling, (b) permits theories that draw on insights from both nativist and empiricist ...
Acknowledgments We are extremely grateful to Jay McClelland and Jacob Feldman for providing detailed and insightful comments on this article. ...
doi:10.1177/0963721415609581
fatcat:rnoilgwblnagfh7d2scoikxhky
Design as Scientific Problem-Solving
[chapter]
1998
Applied Optimization
CATEGORIES OF DESIGN REQUIREMENTS The most basic type of requirement is empirical, measurable or well-defined in nature. ...
of design processes and the problem solving of scientific communities. ...
The new requirements must then be integrated with the 'current' requirements and further analysis must be done. ...
doi:10.1007/978-1-4757-2872-9_2
fatcat:agky62sh3bgxpni746tco6wi2e
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